Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Noor22Tak/autotrain-8hhp1-f1j5d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noor22Tak/autotrain-8hhp1-f1j5d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Noor22Tak/autotrain-8hhp1-f1j5d")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Noor22Tak/autotrain-8hhp1-f1j5d") model = AutoModelForSequenceClassification.from_pretrained("Noor22Tak/autotrain-8hhp1-f1j5d") - Notebooks
- Google Colab
- Kaggle
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="Noor22Tak/autotrain-8hhp1-f1j5d")# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Noor22Tak/autotrain-8hhp1-f1j5d")
model = AutoModelForSequenceClassification.from_pretrained("Noor22Tak/autotrain-8hhp1-f1j5d")Quick Links
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Model tree for Noor22Tak/autotrain-8hhp1-f1j5d
Base model
aubmindlab/bert-base-arabert
# Gated model: Login with a HF token with gated access permission hf auth login